Modelling ambivalent triads in family research

Area of Science:

• Social Psychology
• Family Studies
• Network Analysis

Background:

• Family relationships are complex, often involving mixed emotions (ambivalence).
• Previous research primarily focused on dyadic (two-person) relationships, neglecting broader family structures.
• Understanding how ambivalence within larger family configurations affects individuals is crucial for well-being.

Purpose of the Study:

• To introduce and apply the ambivalent triad census for analyzing family network structures.
• To investigate the impact of ambivalent family triads on individual well-being, specifically maternal social self-esteem.
• To test theoretical mechanisms linking triad structures to outcomes: ambivalent balance, diffusion of stress, and divide and conquer.

Main Methods:

• Developed the ambivalent triad census to categorize 18 types of triads based on positive, negative, or ambivalent ties.
• Applied the census to 300 family networks (150 stepfamilies, 150 first-time families).
• Collected data through maternal self-reports on relationships within the family.

Main Results:

• Mothers in triads with greater ambivalent balance reported higher social self-esteem.
• Mothers in triads with less diffusion of stress also reported higher social self-esteem.
• The study identified specific triad configurations associated with individual well-being.

Conclusions:

• Family ambivalence within triadic structures significantly influences individual outcomes.
• Network structures, particularly ambivalent balance and diffusion of stress, are key factors in maternal social self-esteem.
• Future research should consider higher-level relational structures beyond dyads to understand family dynamics.